Elastic
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Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data at scale. The Elastic Search AI Platform—used by more than 50% of the Fortune 500—combines precision search with AI to help businesses accelerate results. By leveraging structured and unstructured data while securing private information, Elastic’s cloud-based solutions for search, security, and observability deliver on the promise of AI.
What Is The Role As a Consulting Engineer – Search, you will act as a trusted technical advisor and help customers realize the value of Elastic’s solutions. You’ll design, deliver, and scale architectures that improve application performance, infrastructure visibility, and end‑user experience. Working with Elastic’s Professional Services, Engineering, Product, and Sales teams, you will accelerate adoption of the Elastic Observability platform, ensuring customers maximize data value while achieving business outcomes. This role offers opportunities to guide strategy, lead complex implementations, and mentor both customers and teammates.
What You Will Be Doing
Translate business and technical requirements into scalable, outcome‑driven solutions built on the Elastic Stack.
Lead end‑to‑end delivery of customer engagements—from discovery and design through implementation, enablement, and optimization.
Partner with customers to architect, deploy, and operationalize Elastic solutions that drive measurable value and adoption.
Provide technical oversight, guidance, and enablement to customers and teammates throughout project lifecycles.
Collaborate cross‑functionally with Sales, Product, Engineering, and Support to ensure successful outcomes and continuous improvement.
Capture and share best practices, lessons learned, and solution patterns across the Elastic Services community.
Contribute to internal enablement, mentoring, and a culture of continuous learning and collaboration.
Apply your expertise to optimize queries, tune clusters, and handle high query/indexing throughput at enterprise scale.
Collaborate with product and engineering teams to identify product improvements, extensions, and defects based on field feedback.
Operationalize vector search (e.g., kNN, ANN, hybrid embeddings) with Elastic’s vector capabilities and ML models or similar.
Profile and tune queries for high‑QPS environments with sub‑second latency targets.
What You Bring
5+ years as a consultant, engineer, or architect with deep expertise in Enterprise Search technologies and concepts, including generative AI.
Hands‑on experience deploying Elastic Search solutions or similar platforms (Solr, Algolia, AWS OpenSearch, Palantir, Unbxd, e‑commerce site search engines).
Strong experience in custom search solution design, query development, relevancy tuning, and NLP use cases.
Expertise in distributed systems and large‑scale application infrastructure.
Proficiency in at least one programming language; knowledge of open‑source machine learning/AI frameworks preferred.
Knowledge or certification in Kubernetes, Linux, Java, databases, Docker, AWS/Azure/GCP, Kafka, Redis, VMs, Lucene.
Familiarity with DevOps practices: Docker, Kubernetes, Terraform, CI/CD.
Ability to manage delivery from proof‑of‑concept through production rollout while mentoring client teams for long‑term success.
Familiarity with modern NLP and AI ecosystems (transformers, Hugging Face, vector DBs like Pinecone or Weaviate) as applied to search.
Strong communication and presentation skills, with experience working directly with customers to gather requirements and deliver solutions.
Bachelor’s, Master’s, or PhD in Computer Science, Engineering, or related field, or equivalent experience.
Comfortable working in highly distributed teams, both remote and on‑site when needed.
May require significant travel to customer sites to support engagements and solution implementations; candidates should be comfortable with varying levels of travel based on business needs.
Bonus Points:
Elastic Certified Engineer certification.
Experience at a Big 4 consulting firm.
Hands‑on experience with Ansible, Terraform, JavaScript, ECK/Kubernetes.
Familiarity with machine learning and AI applied to search solutions.
Experience contributing to open‑source projects or documentation.
Public speaking experience at conferences, meetups, or enterprise workshops.
Compensation The typical starting salary range for new hires in this role is USD $110,900—$175,500. In select locations (Seattle WA, Los Angeles CA, San Francisco Bay Area CA, and New York City Metro Area) the range may be USD $133,200—$210,700.
Salary ranges represent the lowest to highest amounts discussed, and may be modified over time. Your position within the range depends on education, qualifications, certifications, experience, skills, geographic location, performance, and business needs.
Benefits
Competitive pay based on the work you do here.
Health coverage for you and your family in many locations.
Flexible schedules and remote‑work options where appropriate.
Generous vacation days each year.
We match up to USD $2,000 (or local currency equivalent) for financial donations and service.
Up to 40 hours annually for volunteer projects.
Minimum of 16 weeks of parental leave.
Equal Opportunity Employer Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender identity or expression, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state, or local law.
We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all. To request an accommodation during the application or recruiting process, please email candidate_accessibility@elastic.co; we will respond within 24 business hours.
Applicants have rights under Federal Employment Laws. Posters include Family and Medical Leave Act (FMLA), Pay Transparency Nondiscrimination Provision, and Employee Polygraph Protection Act (EPPA). Please see our
Privacy Statement .
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Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data at scale. The Elastic Search AI Platform—used by more than 50% of the Fortune 500—combines precision search with AI to help businesses accelerate results. By leveraging structured and unstructured data while securing private information, Elastic’s cloud-based solutions for search, security, and observability deliver on the promise of AI.
What Is The Role As a Consulting Engineer – Search, you will act as a trusted technical advisor and help customers realize the value of Elastic’s solutions. You’ll design, deliver, and scale architectures that improve application performance, infrastructure visibility, and end‑user experience. Working with Elastic’s Professional Services, Engineering, Product, and Sales teams, you will accelerate adoption of the Elastic Observability platform, ensuring customers maximize data value while achieving business outcomes. This role offers opportunities to guide strategy, lead complex implementations, and mentor both customers and teammates.
What You Will Be Doing
Translate business and technical requirements into scalable, outcome‑driven solutions built on the Elastic Stack.
Lead end‑to‑end delivery of customer engagements—from discovery and design through implementation, enablement, and optimization.
Partner with customers to architect, deploy, and operationalize Elastic solutions that drive measurable value and adoption.
Provide technical oversight, guidance, and enablement to customers and teammates throughout project lifecycles.
Collaborate cross‑functionally with Sales, Product, Engineering, and Support to ensure successful outcomes and continuous improvement.
Capture and share best practices, lessons learned, and solution patterns across the Elastic Services community.
Contribute to internal enablement, mentoring, and a culture of continuous learning and collaboration.
Apply your expertise to optimize queries, tune clusters, and handle high query/indexing throughput at enterprise scale.
Collaborate with product and engineering teams to identify product improvements, extensions, and defects based on field feedback.
Operationalize vector search (e.g., kNN, ANN, hybrid embeddings) with Elastic’s vector capabilities and ML models or similar.
Profile and tune queries for high‑QPS environments with sub‑second latency targets.
What You Bring
5+ years as a consultant, engineer, or architect with deep expertise in Enterprise Search technologies and concepts, including generative AI.
Hands‑on experience deploying Elastic Search solutions or similar platforms (Solr, Algolia, AWS OpenSearch, Palantir, Unbxd, e‑commerce site search engines).
Strong experience in custom search solution design, query development, relevancy tuning, and NLP use cases.
Expertise in distributed systems and large‑scale application infrastructure.
Proficiency in at least one programming language; knowledge of open‑source machine learning/AI frameworks preferred.
Knowledge or certification in Kubernetes, Linux, Java, databases, Docker, AWS/Azure/GCP, Kafka, Redis, VMs, Lucene.
Familiarity with DevOps practices: Docker, Kubernetes, Terraform, CI/CD.
Ability to manage delivery from proof‑of‑concept through production rollout while mentoring client teams for long‑term success.
Familiarity with modern NLP and AI ecosystems (transformers, Hugging Face, vector DBs like Pinecone or Weaviate) as applied to search.
Strong communication and presentation skills, with experience working directly with customers to gather requirements and deliver solutions.
Bachelor’s, Master’s, or PhD in Computer Science, Engineering, or related field, or equivalent experience.
Comfortable working in highly distributed teams, both remote and on‑site when needed.
May require significant travel to customer sites to support engagements and solution implementations; candidates should be comfortable with varying levels of travel based on business needs.
Bonus Points:
Elastic Certified Engineer certification.
Experience at a Big 4 consulting firm.
Hands‑on experience with Ansible, Terraform, JavaScript, ECK/Kubernetes.
Familiarity with machine learning and AI applied to search solutions.
Experience contributing to open‑source projects or documentation.
Public speaking experience at conferences, meetups, or enterprise workshops.
Compensation The typical starting salary range for new hires in this role is USD $110,900—$175,500. In select locations (Seattle WA, Los Angeles CA, San Francisco Bay Area CA, and New York City Metro Area) the range may be USD $133,200—$210,700.
Salary ranges represent the lowest to highest amounts discussed, and may be modified over time. Your position within the range depends on education, qualifications, certifications, experience, skills, geographic location, performance, and business needs.
Benefits
Competitive pay based on the work you do here.
Health coverage for you and your family in many locations.
Flexible schedules and remote‑work options where appropriate.
Generous vacation days each year.
We match up to USD $2,000 (or local currency equivalent) for financial donations and service.
Up to 40 hours annually for volunteer projects.
Minimum of 16 weeks of parental leave.
Equal Opportunity Employer Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender identity or expression, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state, or local law.
We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all. To request an accommodation during the application or recruiting process, please email candidate_accessibility@elastic.co; we will respond within 24 business hours.
Applicants have rights under Federal Employment Laws. Posters include Family and Medical Leave Act (FMLA), Pay Transparency Nondiscrimination Provision, and Employee Polygraph Protection Act (EPPA). Please see our
Privacy Statement .
#J-18808-Ljbffr